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Paddle/paddle/fluid/memory/allocation/best_fit_allocator.cc

181 lines
5.8 KiB

// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/memory/allocation/best_fit_allocator.h"
#include <cmath>
#include "paddle/fluid/platform/enforce.h"
namespace paddle {
namespace memory {
namespace allocation {
static int HighestBitPos(size_t N) {
if (UNLIKELY(N == 0)) {
return 0;
} else {
#ifdef __GNUCC__
return sizeof(unsigned int) * 8 - __builtin_clz(N);
#else
return static_cast<int>(std::log2(N) + 1);
#endif
}
}
BestFitAllocator::BestFitAllocator(Allocation* allocation)
: allocation_(allocation) {
details::Chunk chunk;
chunk.size_ = allocation_->size();
chunk.offset_ = 0;
chunk.is_free = true;
chunks_.emplace_back(chunk);
free_chunks_[HighestBitPos(chunk.size_)].insert(
{chunk.size_, chunks_.begin()});
}
size_t BestFitAllocator::FreeSize() const {
size_t acc = 0;
for (auto& array_item : free_chunks_) {
for (auto& pair : array_item) {
acc += pair.second->size_;
}
}
return acc;
}
BestFitAllocator::ListIt BestFitAllocator::SplitChunk(size_t request_size,
size_t free_chunk_offset,
MapIt bin_iterator) {
auto to_split_it = bin_iterator->second;
free_chunks_[free_chunk_offset].erase(bin_iterator);
PADDLE_ENFORCE_EQ(to_split_it->is_free, true,
platform::errors::PreconditionNotMet(
"The memory chunk to split is not free"));
PADDLE_ENFORCE_GE(to_split_it->size_, request_size,
platform::errors::PreconditionNotMet(
"The size of memory chunk to split is "
"not larger than size of request memory"));
auto remaining_size = to_split_it->size_ - request_size;
details::Chunk to_use;
details::Chunk remaining;
to_use.size_ = request_size;
to_use.is_free = false;
remaining.size_ = remaining_size;
remaining.is_free = true;
// calc offsets
to_use.offset_ = to_split_it->offset_;
remaining.offset_ = to_use.offset_ + to_use.size_;
// insert to chunk list
auto to_use_it = chunks_.insert(to_split_it, to_use);
if (remaining.size_ != 0) {
auto bit_size = static_cast<size_t>(HighestBitPos(remaining.size_));
free_chunks_[bit_size].insert(
{remaining.size_, chunks_.insert(to_split_it, remaining)});
}
chunks_.erase(to_split_it);
return to_use_it;
}
void BestFitAllocator::InsertFreeNode(const ListIt& it) {
auto pos = static_cast<size_t>(HighestBitPos(it->size_));
auto& free_map = free_chunks_[pos];
free_map.insert({it->size_, it});
}
void BestFitAllocator::EraseFreeNode(const ListIt& it) {
size_t pos = static_cast<size_t>(HighestBitPos(it->size_));
auto& free_map = free_chunks_[pos];
auto map_it = free_map.find(it->size_);
while (map_it->second != it && map_it != free_map.end()) {
++map_it;
}
PADDLE_ENFORCE_NE(
map_it, free_map.end(),
platform::errors::NotFound("The node to erase is not found in map"));
free_map.erase(map_it);
}
size_t BestFitAllocator::NumFreeChunks() const {
size_t num = 0;
for (auto& array_item : free_chunks_) {
num += array_item.size();
}
return num;
}
void BestFitAllocator::FreeImpl(Allocation* allocation) {
auto* bf_allocation = dynamic_cast<BestFitAllocation*>(allocation);
PADDLE_ENFORCE_NOT_NULL(
bf_allocation,
platform::errors::InvalidArgument(
"The input allocation is not type of BestFitAllocation."));
auto chunk_it = bf_allocation->ChunkIterator();
PADDLE_ENFORCE_EQ(chunk_it->is_free, false,
platform::errors::PreconditionNotMet(
"The chunk of allocation to free is freed already"));
chunk_it->is_free = true;
if (chunk_it != chunks_.begin()) {
auto prev_it = chunk_it;
--prev_it;
if (prev_it->is_free) {
// Merge Left.
EraseFreeNode(prev_it);
prev_it->size_ += chunk_it->size_;
chunks_.erase(chunk_it);
chunk_it = prev_it;
}
}
auto next_it = chunk_it;
++next_it;
if (next_it != chunks_.end() && next_it->is_free) {
EraseFreeNode(next_it);
chunk_it->size_ += next_it->size_;
chunks_.erase(next_it);
}
InsertFreeNode(chunk_it);
delete allocation;
}
Allocation* BestFitAllocator::AllocateImpl(size_t size) {
auto highest_set_bit = static_cast<size_t>(HighestBitPos(size));
MapIt map_it;
for (; highest_set_bit < free_chunks_.size(); ++highest_set_bit) {
map_it = free_chunks_[highest_set_bit].lower_bound(size);
if (map_it != free_chunks_[highest_set_bit].end()) {
break;
}
}
if (UNLIKELY(highest_set_bit == free_chunks_.size())) {
PADDLE_THROW_BAD_ALLOC(platform::errors::ResourceExhausted(
"Cannot allocate %d, All fragments size is %d.", size, FreeSize()));
}
auto chunk_it = SplitChunk(size, highest_set_bit, map_it);
return new BestFitAllocation(this, chunk_it);
}
BestFitAllocation::BestFitAllocation(
paddle::memory::allocation::BestFitAllocator* allocator,
typename details::ChunkList::iterator chunk_it)
: Allocation(reinterpret_cast<void*>(
reinterpret_cast<uintptr_t>(allocator->BasePtr()) +
chunk_it->offset_),
chunk_it->size_, allocator->Place()),
chunk_it_(chunk_it) {}
} // namespace allocation
} // namespace memory
} // namespace paddle